نتایج جستجو برای: transformation of bl general fuzzy automata

تعداد نتایج: 21240695  

Journal: :International Journal of Computer Applications 2012

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

Journal: :Fuzzy Sets and Systems 2012
Karel Chvalovský

We show by standard automated theorem proving methods and freely available automated theorem prover software that axiom (A2), stating that multiplicative conjunction implies its first member, is provable from other axioms in fuzzy logics BL and MTL without using axiom (A3), which is known to be provable from other axioms [1]. We also use freely available automated model generation software to s...

2017
Sebastian Preugschat Thomas Wilke

We present a direct transformation of weak alternating ω-automata into equivalent backward deterministic ω-automata and show (1) how it can be used to obtain a transformation of non-deterministic Büchi automata into equivalent backward deterministic automata and (2) that it yields optimal equivalent backward deterministic automata when applied to linear-time temporal logic formulas. (1) uses th...

Journal: :Acta Cybern. 2016
Shubh Narayan Singh Kanduru V. Krishna

Using holonomy decomposition, the absence of certain types of cycles in automata has been characterized. In the direction of studying the structure of automata with cycles, this paper focuses on a special class of semi-flower automata and establish the holonomy decomposition of certain circular semiflower automata. In particular, we show that the transformation monoid of a circular semi-flower ...

Journal: :Journal of Computer and System Sciences 1983

Journal: :The Computer Science Journal of Moldova 1993
V. Levchenko Alexandr Savinov

An approach to the diagnostic type expert systems design based on the special matrix representation of fuzzy predicates in the attribute model of the problem domain is presented. Intensive representation of predicates by means of sectional matrices is an analogue of the conjunctive normal form. Rules, positive examples and negative examples (in general, all fuzzy) can be used to form knowledge ...

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